ArticleAnnals of family medicine
Strategies Associated With Reducing Benzodiazepine Prescribing to Older Adults: A Mixed Methods Study.
Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Pragmatic trial evaluating the impact of simulation training on high-risk prescribing to older adults by junior physicians.Journal of the American Geriatrics Society · 2024Trial
- Psychotropic Drug Scheduling and Benzodiazepine Receptor Agonist Prescribing in Japan: An Interrupted Time Series Analysis.Therapeutic innovation & regulatory science · 2026Article
- Polypharmacy and potentially inappropriate prescribing of benzodiazepines in older nursing home residents.Annals of medicine · 2024Article
- Relationship between facility number of clinicians and prescribing intensity of psychotropic medications, opioids, and antibiotics in ambulatory practice.BMC health services research · 2024Article
- Examining Adult Patients' Success with Discontinuing Long-term Benzodiazepine Use: a Qualitative Study.Journal of general internal medicine · 2024Article
- Nursing Home Characteristics Associated with Antipsychotic Prescribing After Implementation of the National Antipsychotic Reduction Initiative (ARI).Clinical gerontologistArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
purposeUnlike in many community-based settings, benzodiazepine (BZD) prescribing to older veterans has decreased. We sought to identify health care system strategies associated with greater facility-level reductions in BZD prescribing to older adults.
methodsWe completed an explanatory sequential mixed methods study of health care facilities in the Veterans Health Administration (N = 140). Among veterans aged ≥75 years receiving long-term BZD treatment, we stratified facilities into relatively high and low performance on the basis of the reduction in average daily dose of prescribed BZD from October 1, 2015 to June 30, 2017. We then interviewed key facility informants (n = 21) who led local BZD reduction efforts (champions), representing 11 high-performing and 6 low-performing facilities.
resultsAcross all facilities, the age-adjusted facility-level average daily dose in October 2015 began at 1.34 lorazepam-equivalent mg/d (SD 0.17); the average rate of decrease was -0.27 mg/d (SD 0.09) per year. All facilities interviewed, regardless of performance, used passive strategies primarily consisting of education regarding appropriate prescribing, alternatives, and identifying potential patients for discontinuation. In contrast, champions at high-performing facilities described leveraging ≥1 active strategies that included individualized recommendations, administrative barriers to prescribing, and performance measures to incentivize clinicians.
conclusionsInitiatives to reduce BZD prescribing to older adults that are primarily limited to passive strategies, such as education and patient identification, might have limited success. Clinicians might benefit from additional recommendations, support, and incentives to modify prescribing practices.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.